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ETF Comparison

AIPI vs QQQI: Which Is the Better Pick in 2026?

A head-to-head comparison of REX AI Covered Call ETF and NEOS Nasdaq-100 High Income ETF covering yield, cost, risk, and income potential.

Updated November 6, 2026

How these figures are calculated: methodology.

Best for

  • AIPIInvestors who want to maximize current income — roughly 37.59%, generated by selling options premium.
  • QQQIInvestors who are comfortable trading away most upside for a large, steady payout.

Jump to the side-by-side numbers

Price and total return

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Distribution Safety Score

An estimate of distribution reliability, not price or principal safety, a probability, or a guarantee. Score methodology.

AIPI

56/ 100

Caution

High confidence

QQQI

84/ 100

Safe

Limited data

Score snapshot as of . Method 1.11.

Side-by-side snapshot

Side-by-side snapshot. Each row is one metric; each column is one fund.
MetricAIPIQQQI
Full nameREX AI Covered Call ETFNEOS Nasdaq-100 High Income ETF
IssuerREX SharesNEOS
Underlying indexBasket (AI Stocks)Actively managed (no tracked index recorded)
Last Close$30.16 as of November 6, 2026$49.48 as of November 6, 2026
Distribution rate37.59%15.38%
Trailing 12-month yield41.73%15.42%
30-day SEC yield-0.22%-0.05%
Distribution Safety Score™ 5684
Safety-Adjusted Yield 21.05%12.92%
Expense ratio0.65%0.68%
AUM$445M$14.9B
Distribution frequencyWeeklyMonthly
ObjectiveGenerates income by writing covered calls on a portfolio of artificial-intelligence focused equities while retaining core exposure to the theme.Seeks to generate high monthly income in a tax efficient manner while targeting equity appreciation.
Asset classEquityEquity
Inception date06/04/202401/29/2024
Beta1.05551.0553
Last dividend$0.218$0.6343
Ex-dividend date11/04/202610/21/2026

Total returns

100% reinvested · ex-date convention. Period returns use this fixed assumption, independent of chart settings. YTD and 1Y are cumulative period returns; 3Y, 5Y, and 10Y are annualized. The shared Since-start window is annualized only when it covers at least one year.

AIPI has lagged QQQI over the trailing twelve months, posting a -3.46% total return against 2.07%. Measured from Jun 2024 — the start of shared available history — QQQI has compounded at 13.58% a year versus 11.89% for AIPI. Figures are total returns: price change plus every distribution reinvested.

Total return and risk statistics by fund. Each row is one fund; each column is one period or statistic.
SymbolYTD cumulative1Y cumulativeSince Jun 2024Volatility Sharpe Sortino Max drawdown
AIPI-2.25%-3.46%11.89%22.4%-0.34-0.43-19.4%
QQQI2.08%2.07%13.58%18.2%-0.11-0.15-12.7%

Total return with all distributions reinvested on the ex-dividend date (a modeling convention, not the cash-settlement date), split-adjusted, as of November 5, 2026. YTD and 1Y are cumulative period returns; 3Y, 5Y, and 10Y are annualized. The shared Since-start window is annualized only when it covers at least one year. “Since Jun 2024” measures every fund from June 4, 2024 — the start of shared available history — so all funds share one comparison window. Volatility is the annualized standard deviation of daily total returns over the past year. Sharpe and Sortino divide the annualized return in excess of the risk-free rate by, respectively, that volatility and the downside deviation (both over the past year) — higher is better. Max drawdown is the largest peak-to-trough total-return decline over the same window — shallower is better.

Distribution rate, SEC yield and return of capital

MetricAIPIQQQI
Forward distribution rate37.59%15.38%
Trailing 12-month yield41.73%15.42%
30-day SEC yield-0.22%-0.05%
Return of capital100.00%—

Total return (price change plus reinvested distributions) is the Total returns section above. Return of capital is the share of a recent distribution that was not income. A 30-day SEC yield can sit far from the headline distribution rate; both numbers are the fund's own published fields.

Total return against the stated underlying is on QQQI vs QQQ.

Visual comparison

Key metrics

Projected income on $10K

Projections assume the current yield and share price remain constant. Actual results will vary.

Bottom lineChoose AIPI if you want to maximize current income — roughly 37.59%, generated by selling options premium. Choose QQQI if you are comfortable trading away most upside for a large, steady payout. AIPI and QQQI both use option or derivative overlays. Their tradeoff is the underlying exposure, how each option strategy is implemented, and the yield each targets; either overlay can limit upside participation, so neither offers uncapped price exposure.

How the risk works

Read this before the income numbers below: the strategy mechanics on this page shape what those payouts can cost you.

  • Capped upside and premium dependence. AIPI and QQQI generate income by selling options, which trades away part of a strong rally in exchange for premium. Distributions can include return of capital, and a payout the underlying assets cannot sustain shows up as NAV erosion over time — the big yield number is not free.

Income calculator

See how much monthly income a hypothetical investment would generate in each ETF at current yields.

ETFs75
Total AUM$14.6B

ETFs and AUM reflect what Dividend Vision tracks — the issuer's full lineup may be larger.

The fund lineup emphasizes income generation through option strategies and sector-specific exposure, with holdings spanning technology, commodities, and alternative assets. REX Shares targets investors seeking non-traditional income approaches and concentrated sector bets, positioning itself in a niche segment focused on structured strategies rather than broad market indexing.

See our curated list of related YouTube videos on AIPI.

ETFs20
Total AUM$36.2B

ETFs and AUM reflect what Dividend Vision tracks — the issuer's full lineup may be larger.

NEOS is known for developing specialized income-focused ETFs that employ strategies like covered calls, hedging, and enhanced yields across various asset classes. NEOS distinguishes itself in the ETF landscape through its emphasis on income generation and downside protection strategies rather than traditional growth approaches.

See our curated list of related YouTube videos on QQQI.

Quick verdict

AIPI (REX AI Covered Call ETF) and QQQI (NEOS Nasdaq-100 High Income ETF) are both dividend ETFs, but they take different approaches.

AIPI offers the higher yield at 37.59% vs 15.38% for QQQI. A higher yield means more current income per dollar invested, though it may come with different risk characteristics.

AIPI is cheaper with an expense ratio of 0.65% compared to 0.68%.

They have different reference exposures: AIPI is linked to Basket (AI Stocks) while QQQI is linked to Nasdaq-100, which means their performance drivers differ.

QQQI is the larger fund by assets ($14.9B), but assets alone do not establish trading costs or liquidity.

Top-holdings overlap

Positions that appear in every fund's top 10. Issuers disclose only the largest weights, so this captures the overlap of the concentrated end of each book — not the full portfolios.

4 shared positions
AIPI 20.1% of its top-10 weight
QQQI 27.0% of its top-10 weight
PositionAIPIQQQI
NVDA NVIDIA Corporation
9.81%
7.97%
AAPL Apple Inc.
3.62%
8.33%
MSFT Microsoft Corporation
3.31%
6.37%
AMZN Amazon.com Inc
3.40%
4.28%
Holdings as-of dates unavailable · mode DIRECT (top 10)

Deep dive

Yield & income

On a $10,000 investment at current distribution rates, AIPI would pay about $3,759.00 a year (about $72.29 per weekly distribution), while QQQI would pay about $1,538.00 a year (about $128.17 per monthly distribution).

AIPI yield37.59%
QQQI yield15.38%
Annual cash diff on $10K$2,221.00

Cost & efficiency

Over 10 years on $10,000, AIPI would cost approximately $650 in fees vs $680 for QQQI (simplified, not compounded). The $30.00 difference may be offset by yield or performance.

AIPI ER0.65%
QQQI ER0.68%

Strategy & risk

AIPI tracks Basket (AI Stocks) with a covered call approach, while QQQI is actively managed around Nasdaq-100 exposure with an active approach. Beta is 1.0555 for AIPI and 1.0553 for QQQI — effectively similar market sensitivity.

AIPI beta1.0555
QQQI beta1.0553

Fund details

AIPI is managed by REX Shares (launched 06/04/2024) with $445M in assets. QQQI is managed by NEOS (launched 01/29/2024) with $14.9B in assets.

AIPI AUM$445M
QQQI AUM$14.9B

Frequently asked questions

What is the current distribution rate for AIPI and QQQI?

AIPI currently distributes 37.59% and QQQI 15.38%, based on fund data updated November 2026. Distribution rate moves with both the payout and the share price, so check the as-of date before relying on either figure.

Is AIPI or QQQI better for dividend income?

It depends on your goals. AIPI currently offers the higher distribution yield, which means more income per dollar invested. However, a lower-yield fund may offer better total return or lower volatility. Consider your time horizon and risk tolerance.

What is the difference between AIPI and QQQI?

AIPI (REX AI Covered Call ETF) tracks Basket (AI Stocks) with a covered call approach, while QQQI (NEOS Nasdaq-100 High Income ETF) is actively managed around Nasdaq-100 exposure with an active approach. They are issued by REX Shares and NEOS respectively.

Can I hold both AIPI and QQQI?

You can, but expect meaningful overlap: 4 of the disclosed top-10 positions are shared (see the holdings-overlap section above). Holding both may double up on the same underlying names rather than diversify.

Is AIPI or QQQI safer?

By Dividend Vision's Distribution Safety Score — a rules-based 0–100 estimate of how resilient a distribution looks, where higher is safer — QQQI scores 84, AIPI scores 56, so QQQI's payout currently looks the more resilient of the two. No score makes an investment risk-free — treat this as a screening signal, not a guarantee, and the leverage, options-income, or crypto caveats flagged on this page apply regardless of score.

Which has lower fees, AIPI or QQQI?

AIPI has an expense ratio of 0.65% while QQQI charges 0.68%. Lower fees mean more of your investment returns stay in your pocket over time.

How much income does $10,000 in AIPI vs QQQI generate?

At current distribution rates, $10,000 in AIPI would pay about $3,759.00 a year (about $72.29 per weekly distribution). $10,000 in QQQI would pay about $1,538.00 a year (about $128.17 per monthly distribution).

Which has performed better historically, AIPI or QQQI?

AIPI has lagged QQQI over the trailing twelve months, posting a -3.46% total return against 2.07%. Measured from Jun 2024 — the start of shared available history — QQQI has compounded at 13.58% a year versus 11.89% for AIPI. Figures are total returns: price change plus every distribution reinvested. Past performance does not guarantee future results.

More comparisons to explore

AIPI vs QQQI — at a glance

Generated November 1, 2026.

Figures quoted in this analysis are from its generation date and may lag the live snapshot table above, which always shows the latest data.

Overview

AIPI and QQQI are both covered call ETFs that generate income by selling call options against equity holdings while maintaining upside exposure to those equities. The critical difference is scope: AIPI focuses exclusively on artificial-intelligence stocks and distributes 37.59%, while QQQI holds the entire Nasdaq-100 index and distributes 15.38%. This yield gap reflects AIPI's narrower, more volatile thematic focus versus QQQI's broad, large-cap tech-heavy diversification.

How they differ

AIPI's 37.59% yield is driven by writing calls on a concentrated basket of AI-focused equities, a strategy that works when the underlying stocks trade sideways or moderately upward. QQQI targets a 15.38% yield through call premiums on 100 of the largest Nasdaq constituents, which includes many non-AI companies like financials and consumer names. Both charge similar expense ratios—0.65% for AIPI and 0.68% for QQQI—and both launched recently, with 01/29/2024 inception dates, making neither a proven long-term income strategy. Their betas are virtually identical (1.0555 and 1.0553, respectively), suggesting similar equity-market sensitivity despite their different underlying holdings.

QQQI: Fits investors seeking broad large-cap tech exposure through a diversified Nasdaq-100 lens while collecting meaningful but more moderate monthly call premiums; matches allocations where thematic concentration feels too narrow and exposure to non-AI mega-cap names (healthcare, consumer, financials) is desirable.

Key risks to know

  • Concentration and sector timing. AIPI's exclusive AI focus means its NAV is hostage to the AI cohort's sentiment and fundamentals; a broad rotation out of AI stocks could trigger sharp declines that call premiums cannot fully offset. QQQI's Nasdaq-100 diversification cushions sector downturns, though tech still dominates the index.
  • NAV erosion at extreme yields. AIPI's 37.59% annualized yield leaves minimal room for capital appreciation; if the underlying AI basket delivers flat or negative returns, distributions will likely rely increasingly on return-of-capital treatment, eroding net asset value over time. QQQI's 15.38% yield is elevated but more sustainable from a diversified equity base.
  • Capped upside from call selling. Both funds sacrifice equity upside when their short calls are in-the-money and approached expiry; if the Nasdaq-100 or AI stocks stage a sharp rally, holders forgo gains above the strike price, a tradeoff that becomes more painful in strong bull markets.
  • Recency and unproven strategies. Both funds launched in early 2024 and have operated through only a partial market cycle; their ability to consistently collect premium and manage NAV through various equity environments remains untested, particularly for AIPI in a prolonged AI drawdown.

Bottom line

If you want maximum income and believe in AI upside, AIPI's 37.59% yield is compelling but demands tolerance for single-sector volatility and significant NAV risk at that payout rate. Past performance does not guarantee future results.

AI-generated analysis for educational purposes only. Verify important details independently; past performance does not guarantee future results.

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These comparisons follow the Dividend Vision methodology.